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Enhanced author bibliographic coupling analysis using semantic and syntactic citation information

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Abstract

Author bibliographic coupling analysis (ABCA) is an extension of bibliographic coupling theory at the author level and is widely used in mapping intellectual structures and scholarly communities. However, the assumption of equal citations and the complete dependence on explicit counts may affect its effectiveness in today’s complex context of discipline development. This research proposes a new approach that uses multiple full-text data to improve ABCA called enhanced author bibliographic coupling analysis. By mining the semantic and syntactic information of citations, the new approach considers more diverse dimensions as the basis of author bibliographic coupling strength. Comparative empirical research was then conducted in the field of oncology. The results show that the new approach can more accurately reveal the relevant relations between authors and map a more detailed domain intellectual structure.

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Acknowledgements

The paper is a substantially extended version of the ISSI2021 conference paper (Zhang and Yuan 2021). We thank Prof. Ronald Rousseau for his valuable suggestions, Dr. Yining Zhang of The First Hospital of China Medical University, Dr. Xiaoxue Zhang of Liaoning Cancer Hospital & Institute for their help in identifying and labeling topics. We gratefully acknowledge insight and feedback from two anonymous reviewers in helping us improve our study. This work is supported by LIS Outstanding Talents Introducing Program, Bureau of Development and Planning of CAS [2018] No. 12.

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Authors and Affiliations

  1. National Science Library, Chinese Academy of Sciences, Beijing, China

    Ruhao Zhang & Junpeng Yuan

  2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

    Ruhao Zhang & Junpeng Yuan

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  1. Ruhao Zhang
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  2. Junpeng Yuan
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Correspondence to Junpeng Yuan.

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Zhang, R., Yuan, J. Enhanced author bibliographic coupling analysis using semantic and syntactic citation information. Scientometrics 127, 7681–7706 (2022). https://doi.org/10.1007/s11192-022-04333-6

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